Endocrinology in the multi-omics era

Smadar Shilo; Eran Segal

doi:10.1038/s41574-023-00931-3

Endocrinology in the multi-omics era

Smadar Shilo, Eran Segal

Weizmann Institute of Science

Research output: Contribution to journal › Article › peer-review

Abstract

Over the past decade, technological advances have enabled cost-efficient, high-throughput analysis of different types of omics data in large human cohorts. Here, we explore insights into the pathophysiology of metabolic disorders revealed through multi-omics studies, discuss novel computational analysis techniques and look at the field’s future directions.

Original language	English
Pages (from-to)	73-74
Number of pages	2
Journal	Nature Reviews Endocrinology
Volume	20
Issue number	2
Early online date	5 Dec 2023
DOIs	https://doi.org/10.1038/s41574-023-00931-3
State	Published - Feb 2024

All Science Journal Classification (ASJC) codes

Endocrinology, Diabetes and Metabolism
Endocrinology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/s41574-023-00931-3

Cite this

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Endocrinology in the multi-omics era

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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